5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Multiple Instance Learning for Brain Tumor Detection from Magnetic Resonance Spectroscopy Data
Diyuan Lu, Gerhard Kurz, Nenad Polomac +3
We apply deep learning (DL) on Magnetic resonance spectroscopy (MRS) data for the task of brain tumor detection. Medical applications often suffer from data scarcity and corruption…
cs.CV2020★ 5 cited
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation
Diyuan Lu, Nenad Polomac, Iskra Gacheva +2
The application of Deep Learning (DL) for medical diagnosis is often hampered by two problems. First, the amount of training data may be scarce, as it is limited by the number of p…